Pinned Repositories
benchmark_mv_approaches
Code of the experiments ran in our GigaScience article: "Benchmarking missing-values approaches for predictive models on health databases".
beyond_calibration
Code of the paper "Beyond calibration: estimating the grouping loss of modern neural networks" published in ICLR 2023.
glest
Package to estimate the grouping loss of a classifier, based on the paper "Beyond calibration: estimating the grouping loss of modern neural nerworks".
HiddenMarkovChain
meta_analysis_notebook
This notebook gathers and explains some well known neuroimaging meta-analysis techniques, discusses their limitations and applies them to real fMRI data.
MVA_AST_Project
MVA_NLP_Project
MVA_OT_Project
Optimal transport project as part of Gabriel Peyré's course.
StereoMatching
Disparity calculation using Loopy Belief Propagation.
tsai-camera-calibration
aperezlebel's Repositories
aperezlebel/beyond_calibration
Code of the paper "Beyond calibration: estimating the grouping loss of modern neural networks" published in ICLR 2023.
aperezlebel/glest
Package to estimate the grouping loss of a classifier, based on the paper "Beyond calibration: estimating the grouping loss of modern neural nerworks".
aperezlebel/meta_analysis_notebook
This notebook gathers and explains some well known neuroimaging meta-analysis techniques, discusses their limitations and applies them to real fMRI data.
aperezlebel/benchmark_mv_approaches
Code of the experiments ran in our GigaScience article: "Benchmarking missing-values approaches for predictive models on health databases".
aperezlebel/MVA_AST_Project
aperezlebel/MVA_NLP_Project
aperezlebel/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
aperezlebel/MVA_OT_Project
Optimal transport project as part of Gabriel Peyré's course.
aperezlebel/aperezlebel.github.io
My personal website based on alshedivat/al-folio template.
aperezlebel/blog
Hosting the scikit-learn blog.
aperezlebel/brain_mapping
I'm currently working on this project at the Montreal Neurological Institue. The goal is to study the impact of meta-analysis priors on prediction performance.
aperezlebel/breast_cancer_prediction
aperezlebel/cs-video-courses
List of Computer Science courses with video lectures.
aperezlebel/glest_dev
Development repository for the glest package.
aperezlebel/meta_ALE
aperezlebel/meta_analysis
The goal is to study the impact of meta-analysis priors on prediction performance.
aperezlebel/meta_narps
aperezlebel/MVA_BML_project
Group project for the Bayesian Machine Learning course of the MVA master's at ENS Paris-Saclay.
aperezlebel/MVA_DL_HW
aperezlebel/MVA_RECVIS_PatchMatch
aperezlebel/NeuMiss
aperezlebel/nltk
NLTK Source
aperezlebel/numerical-tours
Numerical Tours of Signal Processing
aperezlebel/PEPSI-Fast_image_inpainting_with_parallel_decoding_network
aperezlebel/pronote-api
(Tout langage) API compatible Pronote 2020/2021
aperezlebel/scikit-learn
scikit-learn: machine learning in Python
aperezlebel/scikit-tree
Scikit-learn compatible decision trees beyond those offered in scikit-learn
aperezlebel/the-algorithm
Source code for Twitter's Recommendation Algorithm
aperezlebel/the-algorithm-ml
Source code for Twitter's Recommendation Algorithm
aperezlebel/website_old
A modern static resume template and theme. Powered by Jekyll and GitHub pages.